2,072,859 research outputs found
Open Source Software: The New Intellectual Property Paradigm
Open source methods for creating software rely on developers who voluntarily reveal code in the expectation that other developers will reciprocate. Open source incentives are distinct from earlier uses of intellectual property, leading to different types of inefficiencies and different biases in R&D investment. Open source style of software development remedies a defect of intellectual property protection, namely, that it does not generally require or encourage disclosure of source code. We review a considerable body of survey evidence and theory that seeks to explain why developers participate in open source collaborations instead of keeping their code proprietary, and evaluates the extent to which open source may improve welfare compared to proprietary development.
GYRE: A New Open-Source Stellar Oscillation Code
We introduce GYRE, a new open-source stellar oscillation code which solves
the adiabatic/non-adiabatic pulsation equations using a novel Magnus Multiple
Shooting (MMS) numerical scheme. The code has a global error scaling of up to
6th order in the grid spacing, and can therefore achieve high accuracy with few
grid points. It is moreover robust and efficiently makes use of multiple
processor cores and/or nodes. We present an example calculation using GYRE, and
discuss recent work to integrate GYRE into the asteroseismic optimization
module of the MESA stellar evolution code.Comment: 2 pages; to appear in Proc. IAU Symposium 301: Precision
Asteroseismolog
Show me the code: Spatial analysis and open source
This paper considers the intersection of academic spatial analysis with the open source revolution. Its basic premise is that the potential for cross-fertilization between the two is rich, yet some misperceptions about these two communities pose challenges to realizing these opportunities. The paper provides a primer on the open source movement for academicians with an eye towards correcting these misperceptions. It identifies a number of ways in which increased adoption of open source practices in spatial analysis can enhance the development of the next generation of tools and the wider practice of scientific research and education.open source; spatial analysis
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